A Fuzzy Petri Net for knowledge representation and reasoning

A Fuzzy Petri Net for knowledge representation and reasoning

A new type of fuzzy petri Net (FPN) is proposed for representing knowledge. An algorithm is presented for checking the consistency of a fuzzy knowledge base via a set of reduction rules that preserve the properties of the FPN. A refutation method for theorem proving using the FPN reductions is prese...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Information processing letters 1991-08, Vol.39 (3), p.165-171
Hauptverfasser: Garg, M.L., Ahson, S.I., Gupta, P.V.
Format: Artikel
Sprache:eng
Schlagworte:
Algorithms
Applied sciences
Computer science
control theory
systems
concurrency
Decision making
decision support
Exact sciences and technology
Formal Languages
Information processing
Theoretical computing
Theory
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:A new type of fuzzy petri Net (FPN) is proposed for representing knowledge. An algorithm is presented for checking the consistency of a fuzzy knowledge base via a set of reduction rules that preserve the properties of the FPN. A refutation method for theorem proving using the FPN reductions is presented. The use of FPN yields an efficient method for automated decisionmaking.
ISSN:0020-0190
1872-6119
DOI:10.1016/0020-0190(91)90114-W